Python for Data Analysis

? - WHY THIS BOOK CAN HELP YOUR CUSTOMERS

Data analysis plays an important role in many aspects of life today. From the moment you wake up, you interact with data at different levels. A lot of important decisions are made based on data analytics. Companies need data to help them meet many of their goals. As the population of the world keeps growing, its customer base keeps expanding. In light of this, they must find ways of keeping their customers happy while at the same time meeting their business goals. 

Given the nature of competition in the business world, it is not easy to keep customers happy. Competitors keep preying on each other's customers, and those who win have another challenge ahead - how to maintain the customers lest they slide back to their former business partners. This is one area where Data Analysis comes in handy. 

This book covers:

• What is Data Analysis
• Python Crash Course
• Data Munging
• Why Data Preprocessing Is Important
• What is Data Wrangling?
• Inheritances to Clean Up the Code
• Reading and writing data
• The Different Types of Data We Can Work With
• The Importance of Data Visualization
• Indexing and selecting arrays
• Common Debugging Tools
• Neural Network and What to Use for?

And much more.

To understand their customers better, companies rely on data. They collect all manner of data at each point of interaction with their customers.

But data analytics is not just about customers and the profit motive. It is also about governance. Governments are the biggest data consumers all over the world. They collect data about citizens, businesses, and every other entity that they interact with at any given point. This is important information because it helps in a lot of instances.  

The way you interact with data can make a big difference, bigger than you can imagine.